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Night Shift Meta Machine Learning Jobs in Michigan

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... The environment is noisy and non-stationary: wastewater compositions shift, ore grades change ...

Lincoln Electric

Night Shift Machinist

Shelby, MI · On-site

$19.75 - $27.25/hr

Manufacturing Pay Range: $17.36-$28 Target Bonus: 5.0% Req ID: 26241 Job Responsibilities This is a NIGHT SHIFT Position Responsible for operating and maintaining assigned Machine to produce high ...

Lincoln Electric

Night Shift Machinist

Shelby Township, MI · On-site

$20.50 - $28/hr

Manufacturing Pay Range: $17.36-$28 Target Bonus: 5.0% Req ID: 26241 ​ ​ Job Responsibilities This is a NIGHT SHIFT Position Responsible for operating and maintaining assigned Machine to produce ...

Lincoln Electric

Night Shift Machinist

Shelby Township, MI

$19.75 - $27.25/hr

Manufacturing Pay Range: $17.36-$28 Target Bonus: 5.0% Req ID: 26241 Job Responsibilities This is a NIGHT SHIFT Position Responsible for operating and maintaining assigned Machine to produce high ...

Lincoln Electric

Night Shift Machinist

Shelby Township, MI · On-site

$17.36 - $28/hr

Manufacturing Pay Range: $17.36-$28 Target Bonus: 5.0% Req ID: 26241 Job Responsibilities This is a NIGHT SHIFT Position Responsible for operating and maintaining assigned Machine to produce high ...

Foxfactory

Machine Operator - Night Shift

Coldwater, MI · On-site

$16 - $19.25/hr

Shift Premium Position Summary: Fabricates complex metallic and nonmetallic parts, and fits and assembles machined parts into complete units, applying knowledge of machine shop theory and procedures ...

Fox Factory

Machine Operator - Night Shift

Coldwater, MI · On-site

$16 - $19.25/hr

Shift Premium Position Summary: Fabricates complex metallic and nonmetallic parts, and fits and assembles machined parts into complete units, applying knowledge of machine shop theory and procedures ...

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All JobsNight Shift Meta Machine Learning JobsNight Shift Meta Machine Learning Jobs in Michigan

Night Shift Meta Machine Learning information

Is ML a high paying job?

Machine learning roles, including those working night shifts in meta machine learning, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Compensation varies based on experience, location, and company, but generally, machine learning jobs are among the higher-paying positions in tech fields.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, and AI Software Developer. These jobs typically require knowledge of programming languages like Python, experience with machine learning frameworks, and understanding of data analysis and algorithms.

Is AI replacing machine learning jobs?

AI is transforming machine learning roles by automating certain tasks, but it also creates new opportunities for professionals skilled in developing, maintaining, and improving AI systems. Machine learning jobs remain in demand, especially for those with expertise in data analysis, model development, and programming tools like Python and TensorFlow. Continuous learning and adapting to new technologies are essential for staying relevant in this evolving field.

What is the salary of machine learning engineer at Meta?

The average salary for a machine learning engineer at Meta is approximately $130,000 to $180,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in deep learning or large-scale data processing may earn higher compensation, often including bonuses and stock options.

What is the difference between Night Shift Meta Machine Learning vs Data Scientist?

AspectNight Shift Meta Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with machine learning toolsBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis and modeling
Work EnvironmentNight shift, often in tech or AI companies, focusing on model deployment and monitoringDay shift, in various industries, focusing on data analysis, modeling, and reporting
Employer & Industry UsageTech firms, AI startups, companies with 24/7 operationsFinance, healthcare, tech, and research organizations

While both roles involve working with data and machine learning, Night Shift Meta Machine Learning specialists focus on deploying and maintaining models during night hours, often in tech environments. Data Scientists typically work during regular hours, analyzing data, building models, and providing insights across various industries.

What are popular job titles related to Night Shift Meta Machine Learning jobs in Michigan? For Night Shift Meta Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Night Shift Meta Machine Learning jobs in Michigan look for? The top searched job categories for Night Shift Meta Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Night Shift Meta Machine Learning jobs? Cities in Michigan with the most Night Shift Meta Machine Learning job openings:
Night Shift Meta Machine Learning jobs near you

Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

$120K - $160K/yr

Full-time

Posted 24 days ago

Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
The Role
Mariana Minerals is building the critical minerals supply chain from the ground up-and we're looking for Machine Learning Engineers to help make it autonomous.
We're not a software company selling tools to mining operators. We are a mining company that builds software. Mariana designs, builds, commissions, and operates our own mines and refineries. We develop proprietary chemical processes and run them at lab, pilot, and commercial scale. Today, we're producing battery-grade lithium salts from real oil and gas wastewater in our facilities. Our first commercial-scale lithium production facility, Lithium One, is targeting initial production in Q1 of 2027.
As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning systems that control our mineral refining facilities. You'll start with well-scoped problems inside our simulators and training pipelines-and ramp quickly toward owning models that run on real, operating plants. Your work won't live behind dashboards or proxy metrics; you'll see its impact in real recovery rates, energy consumption, reagent usage, and uptime.
The Tech
This is some of the most interesting applied AI work happening today.
Our internal platform uses the same reinforcement learning toolkits that power self-driving vehicles and humanoid robots-but applied to autonomous, short-interval control of mineral refining circuits. Models adjust operating set points and configurations in real time, optimizing across lithium recovery, reagent consumption, energy intensity, and equipment uptime simultaneously.
The environment is noisy and non-stationary: wastewater compositions shift, ore grades change, equipment ages. The system must continuously adapt. The end goal is fully autonomous refining operations. When you ship here, you can literally watch the physics change.
Under the hood, that means training control models inside physically realistic simulators of our process units, then closing the gap against real plant data before anything touches live equipment.
What You'll Do
  • Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
  • Build and refine pieces of our training environments-reward functions, observations, and action logic-with guidance from senior engineers.
  • Train control models, track and interpret their performance, and dig into why a model underperforms.
  • Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
  • Write clean, well-tested code and contribute to the services that put models into production.
  • Partner with process and chemistry experts to understand the unit operations you're modeling.
Desired Qualifications
  • 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with demonstrated project depth.
  • Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
  • Proficiency in Python and comfort reading and debugging an existing codebase.
  • Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
  • A self-starter who asks good questions, ships, and escalates blockers early.
Why This Role
We own the projects, generate the data, and close the loop. Every facility we build makes the software smarter-and the next facility faster and cheaper.
Mining is one of the last major industrial sectors that hasn't been rebuilt with modern software. The opportunity here isn't a feature gap-it's entire workflows and systems that don't exist yet.
Your work will directly shape how critical minerals are produced at scale in the coming decades.
Our culture is built on three principles:
Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.
Share Your Legos - We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply.

Apply